Staff, Data Analyst (Analytics Team) - Coupang Play

About Coupang Play

Coupang Play is an OTT video streaming service. We offer a wide range of content, including Original Series, TV Shows, Movies, and Sports.

We are in the business of delivering exceptional storytelling. We produce award-winning scripted and unscripted Original Series, such as “Boyhood ”, “Anna ”, and “SNL Korea ”. We believe Sports can also be elevated by creative storytelling. Play is now an authoritative destination for Sports, broadcasting K-League, La Liga, Bundesliga, F1, NFL, and other leading leagues and tournaments. We also offer some of the latest movies that were just released in local theaters, bringing more exceptional storytelling to our customers .

To ensure that we deliver all content seamlessly, we invest in Engineering, Product, and Design. Coupang Play is available on all mobile devices, tablets, PC, Smart TV, Apple TV, and Android TV. Our teams keep optimizing how customers discover and stream both VOD and Live content. That includes investments in frontend, backend, and infrastructural developments. We also embrace Machine Learning to refine our CX.

We are still very early in our growth stage. If you enjoy solving complex problems using industry-leading technology or unconventional business approaches, please join us. We are building a world-class team of problem-solvers, all dedicated to delivering exceptional storytelling to our customers .

Role Overview

The Analytics team at Coupang Play operates at the intersection of Business, Product, Content, Marketing, and Technology to drive user engagement and monetization. As a Senior Data Analyst, you will partner closely with Business, Content, Product, and Engineering stakeholders to develop self-serve data solutions and analyses that solve complex business challenges, improve decision quality and drive action.

The ideal candidate is highly self-motivated and able to combine the strategic rigor of a Management Consultant with the technical skills of a seasoned Data Analyst. You should be comfortable collaborating with senior leaders, navigating ambiguity, and translating business problems into data-led solutions and narratives that drive strategic decisions and accelerate business growth.

What You Will Do

Own the solution. Work through ambiguity to diagnose the decision to be made, metric drift, or logging error - then create defined requirements and drive the cross-functional effort to deliver the right Analytics solution end-to-end.

Quantify our GTM engine. Develop a deep understanding of our business and how different teams define success - then make sure our data models, metric definitions, reporting and dashboards measure the right metrics to keep teams on track.

Own metric definitions. Be fluent in the language of your stakeholders - you know that 'user' means something different to Product than to Finance, and can reconcile the difference by thinking systematically instead of leaving the decision to someone else

Own the fix. You don't default to only the technical reason when errors occur - you go deeper to investigate if the real problem is the system capturing wrong data, a sub-optimal process, or a data model that no longer matches business needs - and then drive the long-term solution that addresses the deepest failure modes and current stakeholder needs

Flex your communication style as needed. You are equally fluent giving executives the narrative and top-line takeaways, and deep diving into data with product and operational teams

Scale AI tooling. You can strategically leverage AI tools to enhance analytical capabilities, improve efficiency and drive innovation, both for yourself and across the Analytics team.

Mentor senior analysts, establish data analytics best practices, and set high engineering and analytical standards for the broader team.

Basic Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field, or equivalent practical exp